Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 466 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 1512771 (Python Code)

Max Activating Token Index: 656

Text #1

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Data Index: 1533275 (Python Code)

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Text #2

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Data Index: 1480030 (Python Code)

Max Activating Token Index: 410

Text #3

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Max Act: 0.0163. Min Act: -0.0003

Data Index: 1410042 (Python Code)

Max Activating Token Index: 980

Text #4

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1612225 (Python Code)

Max Activating Token Index: 203

Text #5

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Data Index: 1371202 (Python Code)

Max Activating Token Index: 394

Text #6

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Data Index: 1570583 (Python Code)

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Text #7

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Data Index: 1511695 (Python Code)

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Text #8

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Data Index: 1630305 (Python Code)

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Text #9

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Data Index: 1654410 (Python Code)

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Text #10

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Data Index: 1514199 (Python Code)

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Data Index: 1607796 (Python Code)

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Text #12

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Data Index: 1139457 (C4 (Web Text))

Max Activating Token Index: 337

Text #13

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Data Index: 1499255 (Python Code)

Max Activating Token Index: 813

Text #14

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Data Index: 1473614 (Python Code)

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Text #15

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Data Index: 1372915 (Python Code)

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Text #16

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Text #17

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Data Index: 1437590 (Python Code)

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Text #18

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Data Index: 1465728 (Python Code)

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Text #19

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Data Index: 1570224 (Python Code)

Max Activating Token Index: 557